MSPB: a longitudinal multi-sensor dataset with phenotypic trait measurements from honey bees

We present a longitudinal Multi-Sensor dataset with Phenotypic trait measurements from honey Bees (MSPB). Data were continuously collected between May-2020 and April-2021 from 53 hives located at two apiaries in Québec, Canada. The sensor data included audio features, temperature, and relative humidity. The phenotypic measurements contained beehive population, number of brood cells (eggs, larva and pupa), Varroa destructor infestation levels, defensive and hygienic behaviors, honey yield, and winter mortality. Our study is amongst the first to provide a wide variety of phenotypic trait measurements annotated by apicultural science experts, which facilitate a broader scope of analysis on honey bees, such as bee acoustics analysis, multi-modal hive monitoring, queen presence detection, Varroa infection detection, hive population estimation, biological analysis of bees, etc.
This project was funded by NSERC Canada under the Alliance program, Nectar Technologies Inc, and the Centre de recherche en sciences animales de Deschambault (CRSAD).